Robot voice control system in noisy condition environment
A voice control and robotics technology, applied in speech analysis, speech recognition, instruments, etc., can solve problems such as neglect, and achieve the effect of enriching modes, adding interest, and improving convenience.
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Embodiment 1
[0034] Embodiment one: see figure 1 , Figure 5 , Figure 8 Describe the overall working principle of the system of the present invention. This robot voice control system used in noisy working environment can use natural voice as a medium to control industrial robots (here industrial collaborative robots are used as an example) to make specified actions through this system. The whole system adopts a technical framework combining local noise reduction processing and online speech recognition, including speech semantic online recognition data platform 1, mobile client 2, local voice control device 3 and industrial collaborative robot 4, speech semantic online recognition data platform 1, The mobile client 2 and the local voice control device 3 are connected to each other through a wireless network, and the local voice control device 3 and the industrial collaborative robot 4 are connected through a serial port line. The mobile client 2 connects or builds a wireless network. S...
Embodiment 2
[0036] Embodiment 2: This embodiment is basically the same as Embodiment 1, and the special feature is: see figure 2 , Figure 5 Describe the form and function of the speech semantic online recognition data platform 1, the speech semantic online recognition data platform 1 is a big data platform based on deep learning, and can use the speech open platform of HKUST Xunfei Co., Ltd. to access the speech recognition service, With the functions of semantic VAD, feature recognition, context-based recognition, continuous speech recognition and context understanding, it can perform online speech semantic recognition for speech signals uploaded to the data platform, and can also complete context-based recognition that is difficult to complete in traditional local offline recognition. Large vocabulary continuous speech recognition, the recognition efficiency and accuracy have been greatly improved. In speech recognition acoustic modeling, DNN is used to replace GMM in the GMM-HMM aco...
Embodiment 3
[0037] Embodiment 3: This embodiment is basically the same as Embodiment 1, and the special feature is: see Figure 4 , Figure 5 The structure and function of the local voice control device 3 will be described in detail. see Figure 4 , the local voice control device 3 structurally includes an upper cover 7 and a base 5, the two are connected by bolts to form a box body, wherein the periphery of the upper cover 7 adopts the form of an array of holes, the opening surface is as large as possible, and the number of holes is as dense as possible. In order to ensure the sound pickup effect of the microphone array module 13 integrated in the built-in integrated circuit board 9 and avoid the masking effect. Local voice control device 3 built-in device power supply 8, integrated circuit board 9 and left and right channel audio 6, see Figure 4 , the device power supply 8 and the left and right audio channels 6 are connected to the integrated circuit board 9 through flying wires, w...
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